John K. Kim

8.6k total citations
33 papers, 2.3k citations indexed

About

John K. Kim is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, John K. Kim has authored 33 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Aging and 4 papers in Plant Science. Recurrent topics in John K. Kim's work include RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (12 papers) and RNA modifications and cancer (11 papers). John K. Kim is often cited by papers focused on RNA Research and Splicing (14 papers), CRISPR and Genetic Engineering (12 papers) and RNA modifications and cancer (11 papers). John K. Kim collaborates with scholars based in United States, Japan and China. John K. Kim's co-authors include Mallory Freeberg, Ting Han, Gary Ruvkun, Harrison W. Gabel, Ravi S. Kamath, Scott Kennedy, Allison C. Billi, Joshua M. Kaplan, Amelia F. Alessi and John R. Yates and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

John K. Kim

32 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John K. Kim United States 20 1.8k 553 501 334 128 33 2.3k
Nicolas J. Lehrbach United States 19 1.8k 1.0× 858 1.6× 603 1.2× 393 1.2× 192 1.5× 27 2.3k
Ka Ming Pang United States 17 1.6k 0.9× 692 1.3× 384 0.8× 183 0.5× 405 3.2× 23 2.1k
Jason R. Kennerdell United States 11 1.6k 0.9× 198 0.4× 349 0.7× 299 0.9× 144 1.1× 15 2.0k
Scott Kuersten United States 22 3.2k 1.8× 275 0.5× 251 0.5× 871 2.6× 106 0.8× 35 3.9k
John A. Calarco United States 20 2.8k 1.5× 629 1.1× 157 0.3× 253 0.8× 108 0.8× 39 3.2k
Marcel Tijsterman Netherlands 36 3.8k 2.1× 1.3k 2.3× 804 1.6× 370 1.1× 242 1.9× 77 4.6k
Shawn Ahmed United States 23 1.9k 1.1× 1.2k 2.2× 484 1.0× 127 0.4× 140 1.1× 43 2.4k
Charalampos Rallis United Kingdom 19 1.2k 0.7× 178 0.3× 243 0.5× 134 0.4× 162 1.3× 43 1.6k
Qian Bian China 17 1.4k 0.8× 319 0.6× 329 0.7× 65 0.2× 119 0.9× 44 1.6k
Jordan D. Ward United States 24 2.6k 1.4× 1.5k 2.8× 342 0.7× 252 0.8× 413 3.2× 43 3.3k

Countries citing papers authored by John K. Kim

Since Specialization
Citations

This map shows the geographic impact of John K. Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John K. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John K. Kim more than expected).

Fields of papers citing papers by John K. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John K. Kim. The network helps show where John K. Kim may publish in the future.

Co-authorship network of co-authors of John K. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Kim. A scholar is included among the top collaborators of John K. Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John K. Kim. John K. Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Venkei, Zsolt, Ildar Gainetdinov, Margaret R. Starostik, et al.. (2023). A maternally programmed intergenerational mechanism enables male offspring to make piRNAs from Y-linked precursor RNAs in Drosophila. Nature Cell Biology. 25(10). 1495–1505. 6 indexed citations
2.
Kim, John K., et al.. (2023). Acute occlusion of the left main coronary ostium by an endocarditis vegetation. Echocardiography. 40(5). 447–451.
4.
Alessi, Amelia F., et al.. (2021). daf-16/FOXO blocks adult cell fate in Caenorhabditis elegans dauer larvae via lin-41/TRIM71. PLoS Genetics. 17(11). e1009881–e1009881. 6 indexed citations
5.
Starostik, Margaret R., Suhua Feng, James J. Moresco, et al.. (2021). SNPC-1.3 is a sex-specific transcription factor that drives male piRNA expression in C. elegans. eLife. 10. 12 indexed citations
6.
Venkei, Zsolt, Suhua Feng, Cuie Chen, et al.. (2020). A kinesin Klp10A mediates cell cycle-dependent shuttling of Piwi between nucleus and nuage. PLoS Genetics. 16(3). e1008648–e1008648. 4 indexed citations
7.
Roach, Nathan, Norah Sadowski, Amelia F. Alessi, et al.. (2020). The full-length transcriptome of C. elegans using direct RNA sequencing. Genome Research. 30(2). 299–312. 71 indexed citations
8.
Kim, John K., et al.. (2020). The multifaceted roles of microRNAs in differentiation. Current Opinion in Cell Biology. 67. 118–140. 63 indexed citations
9.
Kim, HyeongJun, Linda Yen, Somsakul Pop Wongpalee, et al.. (2019). The Gene-Silencing Protein MORC-1 Topologically Entraps DNA and Forms Multimeric Assemblies to Cause DNA Compaction. Molecular Cell. 75(4). 700–710.e6. 44 indexed citations
10.
Hong, Sungki, Mallory Freeberg, Ting Han, et al.. (2017). LARP1 functions as a molecular switch for mTORC1-mediated translation of an essential class of mRNAs. eLife. 6. 149 indexed citations
11.
Jin, Meiyan, Ting Han, Yao Yao, et al.. (2017). Glycolytic Enzymes Coalesce in G Bodies under Hypoxic Stress. Cell Reports. 20(4). 895–908. 143 indexed citations
12.
Weiser, Natasha E., Suhua Feng, Natallia Kalinava, et al.. (2017). MORC-1 Integrates Nuclear RNAi and Transgenerational Chromatin Architecture to Promote Germline Immortality. Developmental Cell. 41(4). 408–423.e7. 45 indexed citations
13.
Chen, Fei, Yu Zhou, Yingchuan Qi, et al.. (2015). Context-dependent modulation of Pol II CTD phosphatase SSUP-72 regulates alternative polyadenylation in neuronal development. Genes & Development. 29(22). 2377–2390. 9 indexed citations
14.
Freeberg, Mallory & John K. Kim. (2015). Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Bioinformatic Analysis. Methods in molecular biology. 1361. 91–104. 2 indexed citations
15.
Han, Ting & John K. Kim. (2015). Mapping the Transcriptome-Wide Landscape of RBP Binding Sites Using gPAR-CLIP-seq: Experimental Procedures. Methods in molecular biology. 1361. 77–90. 1 indexed citations
16.
Jin, Meiyan, Ding He, Steven K. Backues, et al.. (2014). Transcriptional Regulation by Pho23 Modulates the Frequency of Autophagosome Formation. Current Biology. 24(12). 1314–1322. 81 indexed citations
17.
Moissiard, Guillaume, Shawn Cokus, Suhua Feng, et al.. (2012). MORC Family ATPases Required for Heterochromatin Condensation and Gene Silencing. Science. 336(6087). 1448–1451. 259 indexed citations
18.
Billi, Allison C., Amelia F. Alessi, Vishal Khivansara, et al.. (2012). The Caenorhabditis elegans HEN1 Ortholog, HENN-1, Methylates and Stabilizes Select Subclasses of Germline Small RNAs. PLoS Genetics. 8(4). e1002617–e1002617. 93 indexed citations
19.
Kim, John K., Harrison W. Gabel, Ravi S. Kamath, et al.. (2005). Functional Genomic Analysis of RNA Interference in C. elegans. Science. 308(5725). 1164–1167. 223 indexed citations
20.
Wang, Duo, Scott Kennedy, Darryl Conte, et al.. (2005). Somatic misexpression of germline P granules and enhanced RNA interference in retinoblastoma pathway mutants. Nature. 436(7050). 593–597. 223 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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